Towards a Standardized User Model for Personalized Systems in Health

Main Article Content

Carolina Rico Olarte
Edwar Javier Girón Buitrón
Gineth Magaly Cerón Ríos
Diego Mauricio López Gutiérrez

Abstract

The definition of a user model supports personalization in computer-based systems. For a personalized system in health, which supports the promotion of healthy habits and lifestyles, in particular physical activity and healthy diet, a user model according to the ISO/TR 14292 standard for Personal Health Records [PHR] is proposed. The description of the standardized user model includes: a characterization of the user model; the proposed user model according to the ISO standard; the relationships and inferences of the user model; and reference architecture for the system to be developed. Finally, a prototype with a small dataset is implemented and some possible mockups supporting the proposed architecture are designed.

Article Details

Section
Original Research
Author Biographies

Carolina Rico Olarte, Universidad del Cauca, Popayán

Engineering in Electronics and Telecommunications student from the Universidad del Cauca, Colombia, with expertise in software development and personal health records (PHR), and particular interest in knowledge management from ICT. Currently she is working with personalized systems habits and promoting healthy lifestyles.

Edwar Javier Girón Buitrón, Universidad del Cauca, Popayán

Engineering in Electronics and Telecommunications student from the Universidad del Cauca, Colombia, qualified in classification techniques, gamification and data processing, and particular interest in KDD processes and gamification in education and health. Currently he is working with custom systems habits and promoting healthy lifestyles.

Gineth Magaly Cerón Ríos, Universidad del Cauca, Popayán

Electronics and Telecommunications Engineering, Master in Telematics Engineering and candidate to Ph.D. in Telematics Engineering of the Universidad del Cauca, Colombia. His areas of interest are the telematic services, cloud services and software product quality. She is currently a researcher at the line of e-Health in the development of projects to promote habits and healthy lifestyles supported in ICT, and modeling and implementation of personalized systems to health.

Diego Mauricio López Gutiérrez, Universidad del Cauca, Popayán

 

Electronics and Telecommunications Engineer (1999) and Master in Telematics (2005) from the Universidad del Cauca, and Ph.D. in Biomedical Sciences area for Health Information (2008), University of Regensburg, Germany. Since 2000 he has been professor of the Department of Telematics at the Universidad del Cauca, where he leads the research in computer and telecommunications applied to health (e-health). He is a member of the Board of the HL7 Colombia Foundation. He has participated and worked as reviewer and member of the program committee of conferences and journals in the area of e-health and has published more than 60 papers in journals and national and international conferences. His main areas of interest are interoperability and information systems architectures, software development processes, standards in e-health, information systems in public health and mobile health (m-Health).

References

Barua, D., Kay, J., Kummerfeld, B., & Paris, C. (2011, November). Theoretical foundations for user-controlled forgetting in scrutable long term user models. En Proceedings of the 23rd Australian Computer-Human Interaction Conference (pp. 40-49). New York, NY: ACM.

Brun, Y. (2009). Software Engineering for Self-Adaptive Systems: A Research Roadmap. In Lecture Notes in Computer Science: Vol. 5525. Software Engineering for Self-Adaptive Systems (pp.48-70). Berlin Heidelberg: Springer.

Buttussi, F. (2008, September). A user-adaptive and context-aware architecture for mobile and desktop training applications. En Proceedings of the 10th international conference on Human computer interaction with mobile devices and services (pp. 543-543). New York, NY: ACM.

Buttussi, F., & Chittaro, L. (2008). MOPET: A context-aware and user-adaptive wearable system for fitness training. Artificial Intelligence in Medicine, 42(2), 153-163.

Carreño, M. (2009). El método Delphi: cuando dos cabezas piensan más que una en el desarrollo de guías de práctica clínica. Revista Colombiana de Psiquiatría, 38(1), 185-193.

Du, H., Youngblood, G. M., & Pirolli, P. (2014). Efficacy of a Smartphone System to Support Groups in Behavior Change Programs. En Proceedings of the Wireless Health 2014 on National Institutes of Health (pp.1-8). New York, NY: ACM.

Feisst, M., dos Santos, D. R., Mitic, J., & Christ, A. (2005). Adaptive heterogeneous learning system. Retrieved from http://www.mlearn.org/mlearn2005/CD/papers/Feist.pdf

González, H. M., Duque, N. D., & Ovalle, D. A. (2009). Modelo del estudiante para sistemas adaptativos de educación virtual. Avances en Sistemas e Informática, 5(1), 199-206.
What is a personal health record? (2013, May 2). [HealthIT blog]. Retrieved from: http://www.healthit.gov/providers-professionals/faqs/what-personal-health-record

Ifeachor, E., Hu, P., Sun, L., Hudson, N., & Zervakis, M. (2009, July). Bioprofiling over grid for personalized eHealthcare for AD. In Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita (pp. 155-165). Amsterdam, The Netherlands: IOS.

International Organization for Standardization [ISO]. (2010). ISO 9241-210:2010. Ergonomics of human-system interaction - Part 210: Human-centered design for interactive systems. Geneva, Switzerland: ISO

International Organization for Standardization [ISO]. (2012). ISO/TR
14292:2012. Personal health records - definition, scope and context. Geneva, Switzerland: ISO

Leka, S. (2004). La organización del trabajo y el estrés: estrategias sistemáticas de solución de problemas para empleadores, personal directivo y representantes sindicales. Geneva, Switzerland: WHO.

Luo, G., Tang, C., & Thomas, S. B. (2012). Intelligent personal health record: experience and open issues. Journal of medical systems, 36(4), 2111-2128.

Martins, A. C., Faria, L., De Carvalho, C. V., & Carrapatoso, E. (2008). User modeling in adaptive hypermedia educational systems. Journal of Educational Technology & Society, 11(1), 194-207.

Molina, J. & García, J. (2006). Técnicas de análisis de datos: aplicaciones prácticas utilizando Microsoft Excel y Weka. Retrieved from: http://www.giaa.inf.uc3m.es/docencia/II/ADatos/apuntesAD.pdf

Meyer, J., Çakır-Turgut, E., & Helmer, A. (2012). Supporting a healthy lifestyle by re-using personal online data. ACM SIGHIT Record, 2(1), 13-13.

Slootmaker, S.M., Paw, M.J.C.A., Schuit, A.J., Seidell, J.C., & Van Mechelen, W. (2005). Promoting physical activity using an activity monitor and a tailored web-based advice: design of a randomized controlled trial [ISRCTN93896459]. BMC Public Health, 5(1), 134.

Tuah, N., Amiel, C., Qureshi, S., Car, J., Kaur, B., & Majeed, A. (2012). Modelo transteórico de modificación dietética y ejercicio físico para la pérdida de peso en adultos con sobrepeso y obesos. Revista Médica Clínica Las Condes, 23(2), 201-202.

Universidad Minuto de Dios [Uniminuto]. (2014, Sept. 10). Calidad y hábitos de vida [blog Uniminuto]. Retrieved from: http://www.uniminuto.edu/web/bienestaruvd/vida-saludable/-/asset_publisher/HBJfz6IGSN46/content/calidad-y-habitos-de-vidahttp://www.uniminuto.edu/web/uvd/-/estilos-de-vida-saludables

Weibelzahl, S. (2001). Evaluation of adaptive systems. In Lecture Notes In Computer Science: Vol.2109. User Modeling 2001, (pp. 292-294). Berlin Heidelberg: Springer.

World Health Organization [WHO]. (2012). Campaña del Día mundial de la salud 2012 [blog - WHO]. Retrieved from: http://www.who.int/world-health-day/2012/toolkit/campaign/es/

Yadav, N., & Poellabauer, C. (2012, October). An architecture for personalized health information retrieval. In Proceedings of the 2012 international workshop on Smart health and wellbeing (pp.41-48). New York, NY: ACM.